Source code for the experiments in the paper: Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problem
The task of this thesis was focused on comparison selected evolutionary algorithms for their success...
Evolutionary, and especially genetic algorithms have become one of the most successful methods for t...
Proceeding of: EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and...
Evolutionary computation is a field which uses natural computational processes to optimize mathemati...
To reduce the total design and optimization time, numerical analysis with surrogate-based approaches...
This book compares the performance of various evolutionary computation (EC) techniques when they are...
Jin Y. Surrogate-assisted evolutionary computation: Recent advances and future challenges. Swarm and...
Le MN, Ong YS, Menzel S, Jin Y, Sendhoff B. Evolution by Adapting Surrogates. Evolutionary Computati...
Over the last decade, Evolutionary Algorithms (EAs) have emerged as a powerful paradigm for global o...
A comparison of three methods for saving previously calculated fitness values across generations of ...
Automatic optimisers can play a vital role in the design and development of engineering systems and ...
Smith C, Doherty J, Jin Y. Recurrent neural network ensembles for convergence prediction in surrogat...
In this paper, we present a novel surrogate-assisted evolutionary optimization framework for solving...
Computational fluid dynamic (CFD) simulations present numerous challenges in the domain of artificia...
To deal with complex optimization problems plagued with computationally expensive fitness functions,...
The task of this thesis was focused on comparison selected evolutionary algorithms for their success...
Evolutionary, and especially genetic algorithms have become one of the most successful methods for t...
Proceeding of: EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and...
Evolutionary computation is a field which uses natural computational processes to optimize mathemati...
To reduce the total design and optimization time, numerical analysis with surrogate-based approaches...
This book compares the performance of various evolutionary computation (EC) techniques when they are...
Jin Y. Surrogate-assisted evolutionary computation: Recent advances and future challenges. Swarm and...
Le MN, Ong YS, Menzel S, Jin Y, Sendhoff B. Evolution by Adapting Surrogates. Evolutionary Computati...
Over the last decade, Evolutionary Algorithms (EAs) have emerged as a powerful paradigm for global o...
A comparison of three methods for saving previously calculated fitness values across generations of ...
Automatic optimisers can play a vital role in the design and development of engineering systems and ...
Smith C, Doherty J, Jin Y. Recurrent neural network ensembles for convergence prediction in surrogat...
In this paper, we present a novel surrogate-assisted evolutionary optimization framework for solving...
Computational fluid dynamic (CFD) simulations present numerous challenges in the domain of artificia...
To deal with complex optimization problems plagued with computationally expensive fitness functions,...
The task of this thesis was focused on comparison selected evolutionary algorithms for their success...
Evolutionary, and especially genetic algorithms have become one of the most successful methods for t...
Proceeding of: EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and...
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